> For the complete documentation index, see [llms.txt](https://betski.gitbook.io/betski-whitepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://betski.gitbook.io/betski-whitepaper/overview/the-solution-betski/our-team.md). # Our Team Betski is led by a highly experienced team with backgrounds across online gaming, technology, operations, finance, product development, and digital growth. Our team has successfully led, managed, and scaled high-impact campaigns, products, and operations for some of the world’s largest casinos, gaming platforms, and digital businesses. With experience spanning sportsbook operations, casino infrastructure, gamification systems, payment architecture, risk management, user acquisition, VIP operations, and large-scale platform growth, the team brings together the operational and technical expertise required to build and scale a next-generation global gaming ecosystem. Over the past several years, the team has focused on building the Betski platform entirely in-house, developing a fully proprietary infrastructure designed for scalability, rapid innovation, and long-term competitive advantage.\ \ Betski is also supported by experienced advisors and executives from the global gaming industry who provide strategic guidance across operations, scaling, partnerships, and international expansion. The combination of deep industry experience, proprietary technology, and long-term product vision positions Betski to compete at a global scale and help shape the next generation of real-money gaming entertainment. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://betski.gitbook.io/betski-whitepaper/overview/the-solution-betski/our-team.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.